Senior Full-Stack Software Engineer - Global AI Platform
$113,000–$163,000 year
HybridToronto, Ontario, Canada
Job Summary
Design and deliver a scalable, secure, cloud-native AI platform enabling enterprise-grade AI and agent-powered solutions using Akka and modern MLOps practices. Build and maintain high-performance, fault-tolerant services that integrate AdaptiveML workflows, feature stores, and model registries to support continuous learning, experimentation, and governance. Develop reusable reference patterns, inner-source components, and shared runtimes for multi-agent coordination while optimizing runtime performance across CPU and GPU workloads. Monitor and resolve persistent platform issues, manage CI/CD pipelines, and implement security measures including access controls and vulnerability assessments. Partner with architects and business leaders to design robust platforms that meet compliance and regulatory requirements throughout the lifecycle.
Required Qualifications
- 5+ years in software engineering
- 3+ years leading teams/projects in AI/ML or distributed systems
- Strong expertise in Akka and event-driven microservices at scale
- Hands-on experience with AI Foundry and AdaptiveML (or equivalent platforms for model lifecycle, orchestration, and continuous learning)
- Proficiency in Scala or Java (Akka ecosystem), plus Python for ML tooling
- Experience with stream processing and data pipelines
- Solid MLOps background: model registries, feature stores, CI/CD for ML, containerization (Docker), orchestration (Kubernetes)
- Cloud proficiency (AWS/Azure), Terraform or IaC, and secrets/IAM
- Deep understanding of distributed systems: consistency, partitioning, backpressure, resilience patterns
- Strong communication, documentation skills
Desired Qualifications
- Experience with online learning, reinforcement learning, or active learning in production
- Knowledge of responsible AI frameworks, model risk management, and fairness/bias assessment
- Performance optimization for low-latency inference; GPU/accelerator utilization
- Experience in regulated industries (e.g., financial services/insurance) with audit and governance requirements
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